Full course description

Course Date:

Apr 3 - May 14, 2017

Duration:

6 weeks

Commitment:

4 hrs/week

Requirement:

Use of statistical software

Course Type:

Instructor-led

Credential:

None

Description

This course provides theoretical and practical training for epidemiologists, biostatisticians and professionals of related disciplines in statistical modeling with particular emphasis on linear and multiple regression. Regression modeling has long been the standard method for analysis of continuous response data in the health sciences.

*Access to Stata will be provided at no cost for the duration of the course.

This course was developed in partnership with the Centre Virchow-Villermé for Public Health Paris-Berlin, a bi-national centre of the Université Sorbonne Paris Cité and Charité – Universitätsmedizin Berlin. Special support was contributed from the Université Paris Descartes.

Objectives

By the end of this course, students should:

  • Master methods of statistical modeling when the response variable is continuous.
  • Be confident users of the Stata package for computing linear, polynomial, and multiple regression.

Target Audience: Professionals in public health careers and those interested in developing skills in statistical regression analysis.


Course is offered by The Ohio State University.

Course Instructors

Stanley Lemeshow

Stanley Lemeshow

Professor

Stan Lemeshow is an expert in biostatistics and epidemiology. He has published extensively in the applied and methodological literature and has co-authored three textbooks in the Wiley Series on Probability and Statistics. He has taught more than 100 short courses on biostatistical methods in the U.S. and abroad, including nine European countries, Australia, China, and India.